Linear Algebra Part 2 : VECTOR SPACES ( BASIS & DIMENSION)

Basis And Dimension, Linear Algebra, Vector spaces, dimension of subspace, Types of matrices, Coordinate vectors
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Linear Algebra Part 2 : VECTOR SPACES ( BASIS & DIMENSION)
24
students
7.5 hours
content
Feb 2025
last update
$29.99
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Why take this course?

🧮 Master Vector Spaces & More with Linear Algebra Part 2!

🚀 Course Title: Linear Algebra Part 2 - Basis and Dimension 🚀

👩‍🏫 Instructor: Jaswinder Kaur

📚 Course Description:

Dive deep into the world of Linear Algebra with our comprehensive course that focuses on understanding Vector Spaces, Subspaces of Vector Spaces, and the nuances of linear combinations. This course is meticulously designed to cover all aspects of linear dependency and independence, offering you a solid foundation in this critical area of mathematics.

What You'll Learn:

  • Understanding Vector Spaces: Discover the fundamental properties and definitions that make up a vector space.
  • Exploring Subspaces: Learn how to identify subspaces within a given vector space and understand their significance.
  • Generators of Vectors: Unravel the concept of generating sets for vectors and the linear span they define.
  • Dependence and Independence: Master the art of determining whether a set of vectors is linearly dependent or independent, and delve into the differences between trivial and non-trivial solutions.
  • Direct Sum of Subspaces: Gain insight into the direct sum decomposition of subspaces and its importance in linear algebra.

🏗️ Building Foundations: Basis and Dimension

  • The Concept of Basis: Understand the role of a basis as a linearly independent spanning set for a vector space and explore its various forms, including matrices and special cases like symmetric, Hermitian, real matrices, and columns of invertible matrices.
  • Dimensions of Vector Spaces and Subspaces: Learn how to calculate the dimensions of vector spaces and subspaces, and how this information is crucial for understanding the complexity and size of these mathematical constructs.
  • Coordinate Vectors: Discover the significance of coordinate vectors in representing elements within vector spaces.

📈 Hands-On Learning Through Assignments

Engage with a variety of assignments that cover all the necessary definitions, remarks, notes, postulates, expected examples, and theorems, complete with corollaries. These exercises are designed to help you grasp the core concepts through practical application.

🤝 Infinite Dimensions in Analysis

Explore how vector spaces extend beyond the finite dimensional into infinite-dimensional spaces, which are central to mathematical analysis and function spaces.

🛒 Support & Resources

Should you have any questions or require assistance, Jaswinder Kaur is here to help! Just drop a message in the Inbox, and she'll be glad to assist you on your learning journey.

🚀 Course Completion Certificate 🚀

Upon successful completion of this course, you will receive a certificate to acknowledge your mastery of Linear Algebra Part 2 - Basis and Dimension.

Embark on this mathematical adventure today and unlock the power of linear algebra with our expert-led course! 🌟

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5027292
udemy ID
16/12/2022
course created date
23/12/2022
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